Machine Learning

ML algorithms, training, and inference

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Machine Learning

WTF. Its real. AllBirds (the shoe company) is pivoting to inference.

I'm profoundly ambivalent re: how to feel about this; is it great -- what a scrappy, bold pivot! Or wildly dumb - its so far from their c...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

Construction estimating software that uses AI.. has anyone here tested one?

i run a small remodeling business and estimating is honestly the worst part… still stuck doing everything in spreadsheets and it takes fo...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

Testing chatbot with AI ML[D]

Hey guys, I have a doubt regarding chatbot testing. We are working in a telecom company and we have a chatbot on our homepage. Right now,...

Reddit - Machine Learning · 1 min ·

All Content

[2603.12702] FGTR: Fine-Grained Multi-Table Retrieval via Hierarchical LLM Reasoning
Llms

[2603.12702] FGTR: Fine-Grained Multi-Table Retrieval via Hierarchical LLM Reasoning

Abstract page for arXiv paper 2603.12702: FGTR: Fine-Grained Multi-Table Retrieval via Hierarchical LLM Reasoning

arXiv - Machine Learning · 4 min ·
[2603.09645] Noise in Photonic Quantum Machine Learning: Models, Impacts, and Mitigation Strategies
Machine Learning

[2603.09645] Noise in Photonic Quantum Machine Learning: Models, Impacts, and Mitigation Strategies

Abstract page for arXiv paper 2603.09645: Noise in Photonic Quantum Machine Learning: Models, Impacts, and Mitigation Strategies

arXiv - Machine Learning · 4 min ·
[2602.04361] SparVAR: Exploring Sparsity in Visual AutoRegressive Modeling for Training-Free Acceleration
Machine Learning

[2602.04361] SparVAR: Exploring Sparsity in Visual AutoRegressive Modeling for Training-Free Acceleration

Abstract page for arXiv paper 2602.04361: SparVAR: Exploring Sparsity in Visual AutoRegressive Modeling for Training-Free Acceleration

arXiv - Machine Learning · 4 min ·
[2601.18857] Statistical Inference for Explainable Boosting Machines
Machine Learning

[2601.18857] Statistical Inference for Explainable Boosting Machines

Abstract page for arXiv paper 2601.18857: Statistical Inference for Explainable Boosting Machines

arXiv - Machine Learning · 3 min ·
[2601.16771] AutoRegressive Generation with B-rep Holistic Token Sequence Representation
Machine Learning

[2601.16771] AutoRegressive Generation with B-rep Holistic Token Sequence Representation

Abstract page for arXiv paper 2601.16771: AutoRegressive Generation with B-rep Holistic Token Sequence Representation

arXiv - Machine Learning · 4 min ·
[2601.06853] †DAGGER: Distractor-Aware Graph Generation for Executable Reasoning in Math Problems
Machine Learning

[2601.06853] †DAGGER: Distractor-Aware Graph Generation for Executable Reasoning in Math Problems

Abstract page for arXiv paper 2601.06853: †DAGGER: Distractor-Aware Graph Generation for Executable Reasoning in Math Problems

arXiv - Machine Learning · 4 min ·
[2601.03323] Listen to Rhythm, Choose Movements: Autoregressive Multimodal Dance Generation via Diffusion and Mamba with Decoupled Dance Dataset
Machine Learning

[2601.03323] Listen to Rhythm, Choose Movements: Autoregressive Multimodal Dance Generation via Diffusion and Mamba with Decoupled Dance Dataset

Abstract page for arXiv paper 2601.03323: Listen to Rhythm, Choose Movements: Autoregressive Multimodal Dance Generation via Diffusion an...

arXiv - Machine Learning · 4 min ·
[2511.21437] A Systematic Study of In-the-Wild Model Merging for Large Language Models
Llms

[2511.21437] A Systematic Study of In-the-Wild Model Merging for Large Language Models

Abstract page for arXiv paper 2511.21437: A Systematic Study of In-the-Wild Model Merging for Large Language Models

arXiv - Machine Learning · 4 min ·
[2601.01095] NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative Understanding
Llms

[2601.01095] NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative Understanding

Abstract page for arXiv paper 2601.01095: NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative Understanding

arXiv - Machine Learning · 4 min ·
[2512.04653] A Semi Centralized Training Decentralized Execution Architecture for Multi Agent Deep Reinforcement Learning in Traffic Signal Control
Machine Learning

[2512.04653] A Semi Centralized Training Decentralized Execution Architecture for Multi Agent Deep Reinforcement Learning in Traffic Signal Control

Abstract page for arXiv paper 2512.04653: A Semi Centralized Training Decentralized Execution Architecture for Multi Agent Deep Reinforce...

arXiv - Machine Learning · 4 min ·
[2512.02711] CREST: Universal Safety Guardrails Through Cluster-Guided Cross-Lingual Transfer
Llms

[2512.02711] CREST: Universal Safety Guardrails Through Cluster-Guided Cross-Lingual Transfer

Abstract page for arXiv paper 2512.02711: CREST: Universal Safety Guardrails Through Cluster-Guided Cross-Lingual Transfer

arXiv - Machine Learning · 3 min ·
[2512.02172] SplatSuRe: Selective Super-Resolution for Multi-view Consistent 3D Gaussian Splatting
Machine Learning

[2512.02172] SplatSuRe: Selective Super-Resolution for Multi-view Consistent 3D Gaussian Splatting

Abstract page for arXiv paper 2512.02172: SplatSuRe: Selective Super-Resolution for Multi-view Consistent 3D Gaussian Splatting

arXiv - Machine Learning · 4 min ·
[2511.22442] What Is the Optimal Ranking Score Between Precision and Recall? We Can Always Find It and It Is Rarely $F_1$
Machine Learning

[2511.22442] What Is the Optimal Ranking Score Between Precision and Recall? We Can Always Find It and It Is Rarely $F_1$

Abstract page for arXiv paper 2511.22442: What Is the Optimal Ranking Score Between Precision and Recall? We Can Always Find It and It Is...

arXiv - Machine Learning · 4 min ·
[2511.18151] AVERY: Intent-Driven Adaptive VLM Split Computing via Embodied Self-Awareness for Efficient Disaster Response Systems
Llms

[2511.18151] AVERY: Intent-Driven Adaptive VLM Split Computing via Embodied Self-Awareness for Efficient Disaster Response Systems

Abstract page for arXiv paper 2511.18151: AVERY: Intent-Driven Adaptive VLM Split Computing via Embodied Self-Awareness for Efficient Dis...

arXiv - Machine Learning · 4 min ·
[2511.13719] Scaling Spatial Intelligence with Multimodal Foundation Models
Llms

[2511.13719] Scaling Spatial Intelligence with Multimodal Foundation Models

Abstract page for arXiv paper 2511.13719: Scaling Spatial Intelligence with Multimodal Foundation Models

arXiv - Machine Learning · 4 min ·
[2511.07732] ViPRA: Video Prediction for Robot Actions
Machine Learning

[2511.07732] ViPRA: Video Prediction for Robot Actions

Abstract page for arXiv paper 2511.07732: ViPRA: Video Prediction for Robot Actions

arXiv - Machine Learning · 4 min ·
[2510.26307] A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection
Machine Learning

[2510.26307] A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection

Abstract page for arXiv paper 2510.26307: A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection

arXiv - Machine Learning · 4 min ·
[2510.25974] Who Leads? Comparing Human-Centric and Model-Centric Strategies for Defining ML Target Variables
Machine Learning

[2510.25974] Who Leads? Comparing Human-Centric and Model-Centric Strategies for Defining ML Target Variables

Abstract page for arXiv paper 2510.25974: Who Leads? Comparing Human-Centric and Model-Centric Strategies for Defining ML Target Variables

arXiv - Machine Learning · 4 min ·
[2510.17211] Temporally Detailed Hypergraph Neural ODEs for Disease Progression Modeling
Machine Learning

[2510.17211] Temporally Detailed Hypergraph Neural ODEs for Disease Progression Modeling

Abstract page for arXiv paper 2510.17211: Temporally Detailed Hypergraph Neural ODEs for Disease Progression Modeling

arXiv - Machine Learning · 4 min ·
[2510.13521] Narrow Operator Models of Stellarator Equilibria in Fourier Zernike Basis
Machine Learning

[2510.13521] Narrow Operator Models of Stellarator Equilibria in Fourier Zernike Basis

Abstract page for arXiv paper 2510.13521: Narrow Operator Models of Stellarator Equilibria in Fourier Zernike Basis

arXiv - Machine Learning · 3 min ·
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